Packt
Essential Concepts of Vector Databases
Packt

Essential Concepts of Vector Databases

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the key differences between traditional and vector databases and why they are increasingly essential in modern data management.

  • Gain hands-on experience with Chroma and Pinecone vector databases, including setting up, querying, and managing embeddings.

  • Master vector similarity metrics like cosine similarity, Euclidean distance, and dot product to perform data retrieval efficiently.

  • Explore the integration of vector databases with Large Language Models (LLMs) and learn how to enhance query responses using AI technologies.

Details to know

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Recently updated!

January 2025

Assessments

10 assignments

Taught in English

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There are 11 modules in this course

In this module, we will introduce the prerequisites and overall structure of the course. You will gain a clear understanding of what to expect and how to navigate through the course for an optimal learning experience.

What's included

1 video1 reading

In this module, we will dive into the fundamental concepts of vector databases. You will learn their applications, the reasons for their growing popularity, and the advantages they offer compared to traditional database systems.

What's included

3 videos1 assignment

In this module, we will explore the key differences between traditional and vector databases. Through detailed comparisons, you will learn how vector databases overcome limitations of older systems, and understand the roles of embeddings and vectors in data management.

What's included

6 videos1 assignment

In this module, we will introduce you to the top 5 vector databases available today. You will also discover how these databases integrate with Large Language Models (LLMs) to enable advanced data management and analysis.

What's included

2 videos1 assignment

In this module, we will provide a hands-on guide to working with Chroma vector databases. You will learn to set up your environment, create a Chroma database, add documents, perform queries, and explore important database metrics.

What's included

11 videos1 assignment

In this module, we will focus on common measures of vector similarity. You will learn the theoretical underpinnings of cosine similarity, Euclidean distance, and the dot product, and how they are applied in real-world data retrieval scenarios.

What's included

4 videos1 assignment

In this module, we will walk you through the complete workflow of integrating vector databases with LLMs. You will learn how to generate embeddings, load documents, and generate model responses through seamless workflows.

What's included

6 videos1 assignment

In this module, we will introduce the LangChain framework and its integration with vector databases. You will explore how to load, split documents, and complete database queries within the LangChain ecosystem.

What's included

6 videos1 assignment

In this module, we will explore the Pinecone vector database. You will learn how to create and query Pinecone indexes, as well as how to clean up data and maintain an efficient indexing system.

What's included

10 videos1 assignment

In this module, we will guide you through selecting the best vector database for various applications. You will learn how to use comparison tables and evaluate key criteria for making informed decisions.

What's included

3 videos1 assignment

In this final module, we will review the key concepts from the course and guide you on your next steps. You will gain insight into further learning opportunities and resources for continued growth in the field.

What's included

1 video1 assignment

Instructor

Packt - Course Instructors
Packt
568 Courses53,065 learners

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